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Statistical Science and Philosophy of Science Part 2: Shallow versus Deep Explorations

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  • Deborah Mayo

    (Virginia Polytechnic and State University Blacksburg)

Abstract

Inability to clearly defend against the criticisms of frequentist methods has turned many a frequentist away from venturing into foundational battlegrounds. Conceding the distorted perspectives drawn from overly literal and radical expositions of what Fisher, Neyman, and Pearson ‘really thought’, some deny they matter to current practice. The goal of this paper is not merely to call attention to the howlers that pass as legitimate criticisms of frequentist error statistics, but also to sketch the main lines of an alternative statistical philosophy within which to better articulate the roles and value of frequentist tools.

Suggested Citation

  • Deborah Mayo, 2012. "Statistical Science and Philosophy of Science Part 2: Shallow versus Deep Explorations," Rationality, Markets and Morals, Frankfurt School Verlag, Frankfurt School of Finance & Management, vol. 3(56), September.
    • Handle: RePEc:rmm:journl:v:3:y:2012:i:56
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    References listed on IDEAS

    as
    1. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    2. Neyman, Jerzy, 1952. "Lectures and Conferences on Mathematical Statistics and Probability," USDA Miscellaneous 327287, United States Department of Agriculture.
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